哈尔滨工程大学学报2016，Vol.37Issue(9)：1256-1260,5.DOI:10.11990/jheu.201602014
基于电路特征信息矩阵的容差模拟电路故障诊断
Fault diagnosis for analog circuits with tolerance base on ciucuit feature information matrix
摘要
Abstract
In this paper, we propose a soft fault diagnostic method for analog circuits based on a circuit feature in⁃formation matrix, which we developed with respect to the response characteristics of different excitation levels at dif⁃ferent test points. We used the weighted Mahalanobis distance to characterize the degree of similarity of each faulty feature vector. By comparing the weighted Mahalanobis distance matrixes of fault⁃free and faulty circuits, we were able to construct the circuit feature information similarity matrix. Using this matrix, we can obtain the integrated similarity vector of each circuit's fault mode by considering the dispersion and fuzzy weighting factors. Finally, we determine the circuit's fault mode based on the judgment criteria of the circuit fault. To reduce the diagnostic work⁃load and improve diagnostic efficiency, we based the data sampling, analysis, and processing of the diagnostic pro⁃cedures on related software. The simulation experiment results show that our proposed method is applicable not only to catastrophic faults but also to parametric faults in the tolerance circuits, and that it has higher detection accuracy compared to methods with only a single⁃fault feature.关键词
模拟电路/故障诊断/电路特征信息矩阵/加权马氏距离/离散度/模糊度Key words
analog circuit/fault diagnosis/circuit feature information matrix/weighted Mahalanobis distance/dis-crete degree/blur degree分类
信息技术与安全科学引用本文复制引用
魏子杰,陈圣俭,周校晨..基于电路特征信息矩阵的容差模拟电路故障诊断[J].哈尔滨工程大学学报,2016,37(9):1256-1260,5.基金项目
国家自然科学基金项目（61179001）． （）
